@incollection{DufloGlennersterKremer2007,
    author={Esther Duflo and Rachel Glennerster and Michael Kremer},
    title={{C}hapter 61 -- {U}sing {R}andomization in {D}evelopment {E}conomics {R}esearch: {A} {T}oolkit},
    booktitle={Handbook of Development Economics},
    volume={4},
    year={2007},
    pages={3895--3962}
    title={{U}rban {C}rime},
    editor={T. Paul Schultz and John A. Strauss},
    publisher={Elsevier},
}

@article{manatunga_sample_2001,
	title = {Sample {Size} {Estimation} in {Cluster} {Randomized} {Studies} with {Varying} {Cluster} {Size}},
	volume = {43},
	copyright = {© 2001 WILEY-VCH Verlag Berlin GmbH, Fed. Rep. of Germany},
	issn = {1521-4036},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/1521-4036(200102)43:1<75::AID-BIMJ75>3.0.CO;2-N/abstract},
	doi = {10.1002/1521-4036(200102)43:1<75::AID-BIMJ75>3.0.CO;2-N},
	abstract = {Cluster randomized studies are common in community trials. The standard method for estimating sample size for cluster randomized studies assumes a common cluster size. However often in cluster randomized studies, size of the clusters vary. In this paper, we derive sample size estimation for continuous outcomes for cluster randomized studies while accounting for the variability due to cluster size. It is shown that the proposed formula for estimating total cluster size can be obtained by adding a correction term to the traditional formula which uses the average cluster size. Application of these results to the design of a health promotion educational intervention study is discussed.},
	language = {en},
	number = {1},
	urldate = {2016-06-24},
	journal = {Biometrical Journal},
	author = {Manatunga, Amita K. and Hudgens, Michael G. and Chen, Shande},
	month = feb,
	year = {2001},
	keywords = {Cluster randomized, Longitudinal data, Sample Size, Varying cluster size},
	pages = {75--86},
	file = {Full Text PDF:/home/mauricio/.zotero/zotero/1di3t569.default/zotero/storage/VH7DR6NI/Manatunga et al. - 2001 - Sample Size Estimation in Cluster Randomized Studi.pdf:application/pdf;Snapshot:/home/mauricio/.zotero/zotero/1di3t569.default/zotero/storage/ID8VDS6A/abstract.html:text/html}
}

@article{kong_sample_2003,
	title = {Sample {Size} {Calculation} for {Dichotomous} {Outcomes} in {Cluster} {Randomization} {Trials} with {Varying} {Cluster} {Size}},
	volume = {37},
	issn = {2168-4790, 2168-4804},
	url = {http://dij.sagepub.com/content/37/1/109},
	doi = {10.1177/009286150303700113},
	abstract = {It is common to assume a constant cluster size in the estimation of sample size for cluster randomized trials. Manatunga et al. (1) derived sample size estimation for continuous response variables in cases of varying cluster size. This paper discusses a parallel study for binary response variables. We compare the maximum cluster size method, the average cluster size method, and the proposed method.},
	language = {en},
	number = {1},
	urldate = {2016-06-24},
	journal = {Drug Information Journal},
	author = {Kong, Seung-Ho and Ahn, Chul W. and Jung, Sin-Ho},
	month = jan,
	year = {2003},
	keywords = {Binary, Cluster randomization, Sample Size, Varying cluster size},
	pages = {109--114},
	file = {Drug Information Journal-2003-Kong-109-14.pdf:/home/mauricio/.zotero/zotero/1di3t569.default/zotero/storage/HWGQ7N6C/Drug Information Journal-2003-Kong-109-14.pdf:application/pdf;Snapshot:/home/mauricio/.zotero/zotero/1di3t569.default/zotero/storage/2UM72QEZ/109.html:text/html}
}

@article{stanish_estimation_1983,
	title = {Estimation of the {Intraclass} {Correlation} {Coefficient} for the {Analysis} of {Covariance} {Model}},
	volume = {37},
	issn = {0003-1305},
	url = {http://www.jstor.org/stable/2683375},
	doi = {10.2307/2683375},
	abstract = {For the unbalanced analysis of covariance model with one covariate, a simple formula is given for the intraclass correlation coefficient estimator that results from Henderson's Method 3 estimation of variance components. Example calculations and the corresponding interpretations are given for a study of the correlation of iron content among brothers. The example illustrates the manner in which the estimator depends on the pattern of correlation between the covariate and the variable under investigation.},
	number = {3},
	urldate = {2016-09-13},
	journal = {The American Statistician},
	author = {Stanish, William M. and Taylor, Noel},
	year = {1983},
	pages = {221--224},
	file = {JSTOR Full Text PDF:/home/mauricio/.zotero/zotero/1di3t569.default/zotero/storage/SSQ9ETTB/Stanish and Taylor - 1983 - Estimation of the Intraclass Correlation Coefficie.pdf:application/pdf}
}

